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Subhabrata Mukherjee · SciRah

Researcher profile · Semantic Scholar

Subhabrata Mukherjee

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Subhabrata Mukherjee — researcher profile on SciRah

h-index: 18
Works: 42
Citations: 2,261

Most-cited papers

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim +4 more
2024International Conference on Learning Representations500 citations
Semantic Scholar
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal +2 more
2023arXiv.org464 citations Open access
Semantic Scholar
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
Bin-Feng Xu, Zhi-Yuan Peng, Bowen Lei, Subhabrata Mukherjee +2 more
2023arXiv.org218 citations Open access
Semantic Scholar
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu +3 more
2022Conference on Empirical Methods in Natural Language Processing214 citations Open access
Semantic Scholar
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference
Luciano Del Corro, A. Giorno, Sahaj Agarwal, Ting Yu +2 more
2023arXiv.org109 citations Open access
Semantic Scholar
Fairness via Representation Neutralization
Meng-Nan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang +2 more
2021Neural Information Processing Systems91 citations
Semantic Scholar
Accelerating Dataset Distillation via Model Augmentation
Lei Zhang, J Zhang, Bowen Lei, Subhabrata Mukherjee +5 more
2022Computer Vision and Pattern Recognition90 citations Open access
Semantic Scholar
Meta Self-training for Few-shot Neural Sequence Labeling
Ya-Qing Wang, Subhabrata Mukherjee, Haoda Chu, Yuan-Cheng Tu +3 more
2021Knowledge Discovery and Data Mining82 citations Open access
Semantic Scholar
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Shashank Gupta, Subhabrata Mukherjee, K. Subudhi, E. González +3 more
2022arXiv.org70 citations Open access
Semantic Scholar
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao +2 more
2022arXiv.org62 citations Open access
Semantic Scholar
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Erik Jones, Hamid Palangi, Clarisse Simoes, Varun Chandrasekaran +4 more
2023International Conference on Learning Representations49 citations Open access
Semantic Scholar
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, R. McCann +1 more
2022AAAI Conference on Artificial Intelligence46 citations Open access
Semantic Scholar
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, S. Shah +5 more
2022Neural Information Processing Systems27 citations Open access
Semantic Scholar
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
Nitay Calderon, Subhabrata Mukherjee, R. Reichart, Amir Kantor
2023Annual Meeting of the Association for Computational Linguistics26 citations Open access
Semantic Scholar
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Meng-Nan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi +2 more
2021Conference of the European Chapter of the Association for Computational Linguistics25 citations Open access
Semantic Scholar
Self-training with Few-shot Rationalization
Meghana Moorthy Bhat, A. Sordoni, Subhabrata Mukherjee
2021Conference on Empirical Methods in Natural Language Processing24 citations Open access
Semantic Scholar
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Dong-Kuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey +4 more
2022Neural Information Processing Systems21 citations
Semantic Scholar
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Meng-Nan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi +2 more
2021arXiv.org19 citations
Semantic Scholar
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models
Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, S. Shah +5 more
2022arXiv.org17 citations Open access
Semantic Scholar
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim +5 more
2022Annual Meeting of the Association for Computational Linguistics17 citations Open access
Semantic Scholar
Smart To-Do: Automatic Generation of To-Do Items from Emails
Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah +1 more
2020Annual Meeting of the Association for Computational Linguistics17 citations Open access
Semantic Scholar
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata Mukherjee, Xiao-Dong Liu, Guoqing Zheng, Saghar Hosseini +5 more
2021NeurIPS Datasets and Benchmarks14 citations
Semantic Scholar
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao +2 more
2021NAACL-HLT11 citations Open access
Semantic Scholar
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions
Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Ye-Long Shen +4 more
2023arXiv.org10 citations Open access
Semantic Scholar
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
Venkata Prabhakara Sarath Nookala, Gaurav Verma, Subhabrata Mukherjee, Srijan Kumar
2023Annual Meeting of the Association for Computational Linguistics10 citations Open access
Semantic Scholar
LiST: Lite Self-training Makes Efficient Few-shot Learners
Ya-Qing Wang, Subhabrata Mukherjee, Xiao-Dong Liu, Jing Gao +2 more
2021arXiv.org10 citations
Semantic Scholar
Task-Based MoE for Multitask Multilingual Machine Translation
Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P. Woodruff +2 more
2023MRL8 citations Open access
Semantic Scholar
MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Lihui Liu, Jia-Yuan Ding, Subhabrata Mukherjee, Carl Yang
2025The Web Conference6 citations
Semantic Scholar
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, G. Weikum
20186 citations
Semantic Scholar
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Dong-Kuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey +4 more
2022arXiv.org5 citations
Semantic Scholar
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos +438 more
20194 citations Open access
Semantic Scholar
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim +5 more
2022arXiv.org3 citations Open access
Semantic Scholar
Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints
Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed +4 more
2022SUSTAINLP2 citations Open access
Semantic Scholar
Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels
Sara Abdali, Subhabrata Mukherjee, E. Papalexakis
2022ECML/PKDD2 citations
Semantic Scholar
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media
Lalitha Kameswari, Dama Sravani, R. Mamidi, Kaustubh Hiware +496 more
20202 citations Open access
Semantic Scholar
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery
Chu-Xu Zhang, Dong-Kuan Xu, Mojan Javaheripi, Subhabrata Mukherjee +5 more
2023Knowledge Discovery and Data Mining1 citations Open access
Semantic Scholar
TRADE: Transducer-Augmented Decoder for Speech LLM
Yun Tang, Shanil Puri, Shinji Watanabe, Subhabrata Mukherjee
2026arXiv.org0 citations
Semantic Scholar
A C T UNE : Uncertainty-Aware Active Self-Training for Active Fine-Tuning of Pretrained Language Models
Yinhan Liu, Myle Ott, Naman Goyal, Jing-Fei Du +59 more
20220 citations
Semantic Scholar
CLUES: Few-Shot Learning Evaluation in NLU
Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini +5 more
20210 citations
Semantic Scholar
Proceedings of The 4th Workshop on e-Commerce and NLP
Federico Bianchi, Bingqing Coveo, Jacopo Tagliabue, J. Kaplan +496 more
20210 citations Open access
Semantic Scholar
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow
Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu +1 more
2021Knowledge Discovery and Data Mining0 citations
Semantic Scholar
Generation & Analysis of Harmonic for Various Combinations of Non-linear Load
Subhabrata Mukherjee, K. Chakraborty, D. Datta
20140 citations
Semantic Scholar

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